Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	8123
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	184.0 B

Variable types

Categorical	14
Numeric	9

Warnings

`85` has constant value "85"	Constant
`1` is highly correlated with `23` and 6 other fields	High correlation
`23` is highly correlated with `1` and 5 other fields	High correlation
`25` is highly correlated with `1` and 4 other fields	High correlation
`34` is highly correlated with `67` and 2 other fields	High correlation
`38` is highly correlated with `1` and 1 other fields	High correlation
`40` is highly correlated with `25` and 4 other fields	High correlation
`54` is highly correlated with `25` and 3 other fields	High correlation
`59` is highly correlated with `1` and 3 other fields	High correlation
`63` is highly correlated with `1` and 3 other fields	High correlation
`67` is highly correlated with `34` and 1 other fields	High correlation
`76` is highly correlated with `34` and 2 other fields	High correlation
`86` is highly correlated with `34` and 1 other fields	High correlation
`93` is highly correlated with `1` and 3 other fields	High correlation
`98` is highly correlated with `1` and 4 other fields	High correlation
`107` is highly correlated with `113`	High correlation
`113` is highly correlated with `40` and 2 other fields	High correlation
`1` is highly correlated with `23` and 6 other fields	High correlation
`23` is highly correlated with `1` and 5 other fields	High correlation
`25` is highly correlated with `1` and 6 other fields	High correlation
`34` is highly correlated with `86`	High correlation
`38` is highly correlated with `1`	High correlation
`40` is highly correlated with `25` and 3 other fields	High correlation
`54` is highly correlated with `25` and 3 other fields	High correlation
`59` is highly correlated with `1` and 4 other fields	High correlation
`63` is highly correlated with `1` and 3 other fields	High correlation
`67` is highly correlated with `76` and 1 other fields	High correlation
`76` is highly correlated with `67` and 1 other fields	High correlation
`86` is highly correlated with `34`	High correlation
`93` is highly correlated with `1` and 4 other fields	High correlation
`98` is highly correlated with `1` and 4 other fields	High correlation
`107` is highly correlated with `67` and 1 other fields	High correlation
`113` is highly correlated with `40` and 1 other fields	High correlation
`1` is highly correlated with `23` and 5 other fields	High correlation
`23` is highly correlated with `1` and 4 other fields	High correlation
`25` is highly correlated with `1` and 3 other fields	High correlation
`34` is highly correlated with `86`	High correlation
`38` is highly correlated with `1`	High correlation
`40` is highly correlated with `54`	High correlation
`54` is highly correlated with `40` and 2 other fields	High correlation
`59` is highly correlated with `1` and 3 other fields	High correlation
`63` is highly correlated with `23` and 2 other fields	High correlation
`67` is highly correlated with `76`	High correlation
`76` is highly correlated with `67`	High correlation
`86` is highly correlated with `34`	High correlation
`93` is highly correlated with `1` and 4 other fields	High correlation
`98` is highly correlated with `1` and 2 other fields	High correlation
`113` is highly correlated with `54`	High correlation
`13` is highly correlated with `36` and 11 other fields	High correlation
`36` is highly correlated with `13` and 5 other fields	High correlation
`59` is highly correlated with `36` and 10 other fields	High correlation
`38` is highly correlated with `13` and 7 other fields	High correlation
`86` is highly correlated with `59` and 5 other fields	High correlation
`54` is highly correlated with `13` and 10 other fields	High correlation
`40` is highly correlated with `13` and 17 other fields	High correlation
`107` is highly correlated with `13` and 14 other fields	High correlation
`76` is highly correlated with `13` and 15 other fields	High correlation
`93` is highly correlated with `13` and 11 other fields	High correlation
`113` is highly correlated with `13` and 9 other fields	High correlation
`52` is highly correlated with `13` and 7 other fields	High correlation
`67` is highly correlated with `13` and 15 other fields	High correlation
`25` is highly correlated with `13` and 15 other fields	High correlation
`3` is highly correlated with `107`	High correlation
`63` is highly correlated with `36` and 11 other fields	High correlation
`23` is highly correlated with `59` and 7 other fields	High correlation
`90` is highly correlated with `40` and 7 other fields	High correlation
`1` is highly correlated with `36` and 10 other fields	High correlation
`34` is highly correlated with `86` and 5 other fields	High correlation
`98` is highly correlated with `13` and 16 other fields	High correlation
`36` is highly correlated with `54` and 1 other fields	High correlation
`59` is highly correlated with `23` and 2 other fields	High correlation
`52` is highly correlated with `93` and 1 other fields	High correlation
`38` is highly correlated with `54` and 3 other fields	High correlation
`86` is highly correlated with `34` and 1 other fields	High correlation
`54` is highly correlated with `36` and 4 other fields	High correlation
`9` is highly correlated with `85`	High correlation
`63` is highly correlated with `54` and 4 other fields	High correlation
`23` is highly correlated with `59` and 5 other fields	High correlation
`1` is highly correlated with `59` and 5 other fields	High correlation
`90` is highly correlated with `93` and 1 other fields	High correlation
`34` is highly correlated with `86` and 1 other fields	High correlation
`93` is highly correlated with `52` and 6 other fields	High correlation
`85` is highly correlated with `36` and 12 other fields	High correlation

Reproduction

Analysis started	2021-09-16 09:57:18.188879
Analysis finished	2021-09-16 09:57:42.459309
Duration	24.27 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

2	4208
1	3915

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8123
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

Most occurring characters

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8123	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	8123	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8123	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4208	51.8%
1	3915	48.2%

3
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.63781854

Minimum	3
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	3
median	4
Q3	6
95-th percentile	7
Maximum	8
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.588963341
Coefficient of variation (CV)	0.3426100714
Kurtosis	-1.773377011
Mean	4.63781854
Median Absolute Deviation (MAD)	1
Skewness	0.08776706125
Sum	37673
Variance	2.524804499
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	3655	45.0%
6	3152	38.8%
7	828	10.2%
4	452	5.6%
5	32	0.4%
8	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	3655	45.0%
4	452	5.6%
5	32	0.4%
6	3152	38.8%
7	828	10.2%
8	4	< 0.1%

Value	Count	Frequency (%)
8	4	< 0.1%
7	828	10.2%
6	3152	38.8%
5	32	0.4%
4	452	5.6%
3	3655	45.0%

9
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

10	3244
9	2555
11	2320
12	4

Length

Max length	2
Median length	2
Mean length	1.685461037
Min length	1

Characters and Unicode

Total characters	13691
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9
2nd row	9
3rd row	10
4th row	9
5th row	10

Common Values

Value	Count	Frequency (%)
10	3244	39.9%
9	2555	31.5%
11	2320	28.6%
12	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
10	3244	39.9%
9	2555	31.5%
11	2320	28.6%
12	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	7888	57.6%
0	3244	23.7%
9	2555	18.7%
2	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13691	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7888	57.6%
0	3244	23.7%
9	2555	18.7%
2	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	13691	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7888	57.6%
0	3244	23.7%
9	2555	18.7%
2	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7888	57.6%
0	3244	23.7%
9	2555	18.7%
2	4	< 0.1%

13
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.09380771

Minimum	13
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	13
5-th percentile	13
Q1	13
median	15
Q3	16
95-th percentile	17
Maximum	22
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.744746874
Coefficient of variation (CV)	0.1155935539
Kurtosis	-0.1417262653
Mean	15.09380771
Median Absolute Deviation (MAD)	2
Skewness	0.4445257779
Sum	122607
Variance	3.044141656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
13	2283	28.1%
16	1840	22.7%
17	1500	18.5%
14	1072	13.2%
15	1040	12.8%
19	168	2.1%
18	144	1.8%
21	44	0.5%
20	16	0.2%
22	16	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	2283	28.1%
14	1072	13.2%
15	1040	12.8%
16	1840	22.7%
17	1500	18.5%
18	144	1.8%
19	168	2.1%
20	16	0.2%
21	44	0.5%
22	16	0.2%

Value	Count	Frequency (%)
22	16	0.2%
21	44	0.5%
20	16	0.2%
19	168	2.1%
18	144	1.8%
17	1500	18.5%
16	1840	22.7%
15	1040	12.8%
14	1072	13.2%
13	2283	28.1%

23
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

24	4748
23	3375

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	23
2nd row	23
3rd row	23
4th row	24
5th row	23

Common Values

Value	Count	Frequency (%)
24	4748	58.5%
23	3375	41.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
24	4748	58.5%
23	3375	41.5%

Most occurring characters

Value	Count	Frequency (%)
2	8123	50.0%
4	4748	29.2%
3	3375	20.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	8123	50.0%
4	4748	29.2%
3	3375	20.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	8123	50.0%
4	4748	29.2%
3	3375	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	8123	50.0%
4	4748	29.2%
3	3375	20.8%

25
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.58980672

Minimum	25
Maximum	33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	25
5-th percentile	26
Q1	28
median	28
Q3	29
95-th percentile	32
Maximum	33
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.557295941
Coefficient of variation (CV)	0.0544703207
Kurtosis	0.6671400683
Mean	28.58980672
Median Absolute Deviation (MAD)	1
Skewness	0.4437250173
Sum	232235
Variance	2.425170647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
28	3528	43.4%
29	2160	26.6%
32	576	7.1%
31	576	7.1%
26	400	4.9%
27	400	4.9%
25	255	3.1%
30	192	2.4%
33	36	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
25	255	3.1%
26	400	4.9%
27	400	4.9%
28	3528	43.4%
29	2160	26.6%
30	192	2.4%
31	576	7.1%
32	576	7.1%
33	36	0.4%

Value	Count	Frequency (%)
33	36	0.4%
32	576	7.1%
31	576	7.1%
30	192	2.4%
29	2160	26.6%
28	3528	43.4%
27	400	4.9%
26	400	4.9%
25	255	3.1%

34
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

34	7913
35	210

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	34
2nd row	34
3rd row	34
4th row	34
5th row	34

Common Values

Value	Count	Frequency (%)
34	7913	97.4%
35	210	2.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
34	7913	97.4%
35	210	2.6%

Most occurring characters

Value	Count	Frequency (%)
3	8123	50.0%
4	7913	48.7%
5	210	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8123	50.0%
4	7913	48.7%
5	210	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	8123	50.0%
4	7913	48.7%
5	210	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	8123	50.0%
4	7913	48.7%
5	210	1.3%

36
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

36	6811
37	1312

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36
2nd row	36
3rd row	36
4th row	37
5th row	36

Common Values

Value	Count	Frequency (%)
36	6811	83.8%
37	1312	16.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
36	6811	83.8%
37	1312	16.2%

Most occurring characters

Value	Count	Frequency (%)
3	8123	50.0%
6	6811	41.9%
7	1312	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8123	50.0%
6	6811	41.9%
7	1312	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	8123	50.0%
6	6811	41.9%
7	1312	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	8123	50.0%
6	6811	41.9%
7	1312	8.1%

38
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

39	5612
38	2511

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	39
2nd row	39
3rd row	38
4th row	39
5th row	39

Common Values

Value	Count	Frequency (%)
39	5612	69.1%
38	2511	30.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
39	5612	69.1%
38	2511	30.9%

Most occurring characters

Value	Count	Frequency (%)
3	8123	50.0%
9	5612	34.5%
8	2511	15.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	8123	50.0%
9	5612	34.5%
8	2511	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	8123	50.0%
9	5612	34.5%
8	2511	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	8123	50.0%
9	5612	34.5%
8	2511	15.5%

40
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.27477533

Minimum	40
Maximum	51
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	40
5-th percentile	40.1
Q1	42
median	44
Q3	46
95-th percentile	48
Maximum	51
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.669395287
Coefficient of variation (CV)	0.06029156031
Kurtosis	-0.9179856198
Mean	44.27477533
Median Absolute Deviation (MAD)	2
Skewness	0.3344192409
Sum	359644
Variance	7.125671197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
48	1728	21.3%
43	1492	18.4%
44	1202	14.8%
41	1048	12.9%
42	752	9.3%
45	732	9.0%
46	492	6.1%
40	407	5.0%
47	96	1.2%
50	86	1.1%
Other values (2)	88	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40	407	5.0%
41	1048	12.9%
42	752	9.3%
43	1492	18.4%
44	1202	14.8%
45	732	9.0%
46	492	6.1%
47	96	1.2%
48	1728	21.3%
49	24	0.3%

Value	Count	Frequency (%)
51	64	0.8%
50	86	1.1%
49	24	0.3%
48	1728	21.3%
47	96	1.2%
46	492	6.1%
45	732	9.0%
44	1202	14.8%
43	1492	18.4%
42	752	9.3%

52
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

53	4608
52	3515

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	52
2nd row	52
3rd row	52
4th row	53
5th row	52

Common Values

Value	Count	Frequency (%)
53	4608	56.7%
52	3515	43.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
53	4608	56.7%
52	3515	43.3%

Most occurring characters

Value	Count	Frequency (%)
5	8123	50.0%
3	4608	28.4%
2	3515	21.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	8123	50.0%
3	4608	28.4%
2	3515	21.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	8123	50.0%
3	4608	28.4%
2	3515	21.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	8123	50.0%
3	4608	28.4%
2	3515	21.6%

54
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

56	3776
58	2480
54	1119
55	556
57	192

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	55
2nd row	55
3rd row	54
4th row	54
5th row	55

Common Values

Value	Count	Frequency (%)
56	3776	46.5%
58	2480	30.5%
54	1119	13.8%
55	556	6.8%
57	192	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
56	3776	46.5%
58	2480	30.5%
54	1119	13.8%
55	556	6.8%
57	192	2.4%

Most occurring characters

Value	Count	Frequency (%)
5	8679	53.4%
6	3776	23.2%
8	2480	15.3%
4	1119	6.9%
7	192	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	8679	53.4%
6	3776	23.2%
8	2480	15.3%
4	1119	6.9%
7	192	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	8679	53.4%
6	3776	23.2%
8	2480	15.3%
4	1119	6.9%
7	192	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	8679	53.4%
6	3776	23.2%
8	2480	15.3%
4	1119	6.9%
7	192	1.2%

59
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

59	5175
61	2372
60	552
62	24

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	59
2nd row	59
3rd row	59
4th row	59
5th row	59

Common Values

Value	Count	Frequency (%)
59	5175	63.7%
61	2372	29.2%
60	552	6.8%
62	24	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
59	5175	63.7%
61	2372	29.2%
60	552	6.8%
62	24	0.3%

Most occurring characters

Value	Count	Frequency (%)
5	5175	31.9%
9	5175	31.9%
6	2948	18.1%
1	2372	14.6%
0	552	3.4%
2	24	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	5175	31.9%
9	5175	31.9%
6	2948	18.1%
1	2372	14.6%
0	552	3.4%
2	24	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	5175	31.9%
9	5175	31.9%
6	2948	18.1%
1	2372	14.6%
0	552	3.4%
2	24	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	5175	31.9%
9	5175	31.9%
6	2948	18.1%
1	2372	14.6%
0	552	3.4%
2	24	0.1%

63
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

63	4935
66	2304
64	600
65	284

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	63
2nd row	63
3rd row	63
4th row	63
5th row	63

Common Values

Value	Count	Frequency (%)
63	4935	60.8%
66	2304	28.4%
64	600	7.4%
65	284	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
63	4935	60.8%
66	2304	28.4%
64	600	7.4%
65	284	3.5%

Most occurring characters

Value	Count	Frequency (%)
6	10427	64.2%
3	4935	30.4%
4	600	3.7%
5	284	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	10427	64.2%
3	4935	30.4%
4	600	3.7%
5	284	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	10427	64.2%
3	4935	30.4%
4	600	3.7%
5	284	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	10427	64.2%
3	4935	30.4%
4	600	3.7%
5	284	1.7%

67
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.14982149

Minimum	67
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	67
5-th percentile	67
Q1	67
median	67
Q3	69
95-th percentile	71
Maximum	75
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.563585687
Coefficient of variation (CV)	0.02294335705
Kurtosis	1.733343832
Mean	68.14982149
Median Absolute Deviation (MAD)	0
Skewness	1.429409741
Sum	553581
Variance	2.444800202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
67	4463	54.9%
69	1872	23.0%
68	576	7.1%
70	448	5.5%
71	432	5.3%
73	192	2.4%
72	96	1.2%
74	36	0.4%
75	8	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
67	4463	54.9%
68	576	7.1%
69	1872	23.0%
70	448	5.5%
71	432	5.3%
72	96	1.2%
73	192	2.4%
74	36	0.4%
75	8	0.1%

Value	Count	Frequency (%)
75	8	0.1%
74	36	0.4%
73	192	2.4%
72	96	1.2%
71	432	5.3%
70	448	5.5%
69	1872	23.0%
68	576	7.1%
67	4463	54.9%

76
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.06167672

Minimum	76
Maximum	84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	76
5-th percentile	76
Q1	76
median	76
Q3	77
95-th percentile	80
Maximum	84
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.648654618
Coefficient of variation (CV)	0.02139396245
Kurtosis	3.834021306
Mean	77.06167672
Median Absolute Deviation (MAD)	0
Skewness	1.988362404
Sum	625972
Variance	2.718062049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
76	4383	54.0%
77	1872	23.0%
78	576	7.1%
80	512	6.3%
79	432	5.3%
83	192	2.4%
81	96	1.2%
84	36	0.4%
82	24	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
76	4383	54.0%
77	1872	23.0%
78	576	7.1%
79	432	5.3%
80	512	6.3%
81	96	1.2%
82	24	0.3%
83	192	2.4%
84	36	0.4%

Value	Count	Frequency (%)
84	36	0.4%
83	192	2.4%
82	24	0.3%
81	96	1.2%
80	512	6.3%
79	432	5.3%
78	576	7.1%
77	1872	23.0%
76	4383	54.0%

85
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

85	8123

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	85
2nd row	85
3rd row	85
4th row	85
5th row	85

Common Values

Value	Count	Frequency (%)
85	8123	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
85	8123	100.0%

Most occurring characters

Value	Count	Frequency (%)
8	8123	50.0%
5	8123	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	8123	50.0%
5	8123	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	8123	50.0%
5	8123	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	8123	50.0%
5	8123	50.0%

86
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

86	7923
87	96
88	96
89	8

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	86
2nd row	86
3rd row	86
4th row	86
5th row	86

Common Values

Value	Count	Frequency (%)
86	7923	97.5%
87	96	1.2%
88	96	1.2%
89	8	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
86	7923	97.5%
87	96	1.2%
88	96	1.2%
89	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
8	8219	50.6%
6	7923	48.8%
7	96	0.6%
9	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	8219	50.6%
6	7923	48.8%
7	96	0.6%
9	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	8219	50.6%
6	7923	48.8%
7	96	0.6%
9	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	8219	50.6%
6	7923	48.8%
7	96	0.6%
9	8	< 0.1%

90
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

90	7487
91	600
92	36

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	90
2nd row	90
3rd row	90
4th row	90
5th row	90

Common Values

Value	Count	Frequency (%)
90	7487	92.2%
91	600	7.4%
92	36	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
90	7487	92.2%
91	600	7.4%
92	36	0.4%

Most occurring characters

Value	Count	Frequency (%)
9	8123	50.0%
0	7487	46.1%
1	600	3.7%
2	36	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	8123	50.0%
0	7487	46.1%
1	600	3.7%
2	36	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	8123	50.0%
0	7487	46.1%
1	600	3.7%
2	36	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	8123	50.0%
0	7487	46.1%
1	600	3.7%
2	36	0.2%

93
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.6 KiB

93	3967
94	2776
95	1296
96	48
97	36

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	16246
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	93
2nd row	93
3rd row	93
4th row	94
5th row	93

Common Values

Value	Count	Frequency (%)
93	3967	48.8%
94	2776	34.2%
95	1296	16.0%
96	48	0.6%
97	36	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
93	3967	48.8%
94	2776	34.2%
95	1296	16.0%
96	48	0.6%
97	36	0.4%

Most occurring characters

Value	Count	Frequency (%)
9	8123	50.0%
3	3967	24.4%
4	2776	17.1%
5	1296	8.0%
6	48	0.3%
7	36	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16246	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	8123	50.0%
3	3967	24.4%
4	2776	17.1%
5	1296	8.0%
6	48	0.3%
7	36	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	16246	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	8123	50.0%
3	3967	24.4%
4	2776	17.1%
5	1296	8.0%
6	48	0.3%
7	36	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	8123	50.0%
3	3967	24.4%
4	2776	17.1%
5	1296	8.0%
6	48	0.3%
7	36	0.2%

98
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.2011572

Minimum	98
Maximum	106
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	98
5-th percentile	98
Q1	99
median	101
Q3	102
95-th percentile	102
Maximum	106
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.742161858
Coefficient of variation (CV)	0.01738664409
Kurtosis	-0.7562887146
Mean	100.2011572
Median Absolute Deviation (MAD)	1
Skewness	0.2385298297
Sum	813934
Variance	3.035127939
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
102	2388	29.4%
99	1968	24.2%
98	1871	23.0%
101	1632	20.1%
103	72	0.9%
100	48	0.6%
104	48	0.6%
105	48	0.6%
106	48	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
98	1871	23.0%
99	1968	24.2%
100	48	0.6%
101	1632	20.1%
102	2388	29.4%
103	72	0.9%
104	48	0.6%
105	48	0.6%
106	48	0.6%

Value	Count	Frequency (%)
106	48	0.6%
105	48	0.6%
104	48	0.6%
103	72	0.9%
102	2388	29.4%
101	1632	20.1%
100	48	0.6%
99	1968	24.2%
98	1871	23.0%

107
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	109.6881694

Minimum	107
Maximum	112
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	107
5-th percentile	107
Q1	109.5
median	110
Q3	111
95-th percentile	111
Maximum	112
Range	5
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	1.380963064
Coefficient of variation (CV)	0.01258989982
Kurtosis	-0.1799471394
Mean	109.6881694
Median Absolute Deviation (MAD)	1
Skewness	-0.8456876591
Sum	890997
Variance	1.907058985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
110	4040	49.7%
111	1712	21.1%
107	1247	15.4%
108	400	4.9%
109	384	4.7%
112	340	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
107	1247	15.4%
108	400	4.9%
109	384	4.7%
110	4040	49.7%
111	1712	21.1%
112	340	4.2%

Value	Count	Frequency (%)
112	340	4.2%
111	1712	21.1%
110	4040	49.7%
109	384	4.7%
108	400	4.9%
107	1247	15.4%

113
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115.7950265

Minimum	113
Maximum	119
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	63.6 KiB

Quantile statistics

Minimum	113
5-th percentile	114
Q1	114
median	116
Q3	117
95-th percentile	119
Maximum	119
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.617350789
Coefficient of variation (CV)	0.01396735972
Kurtosis	-0.4881195139
Mean	115.7950265
Median Absolute Deviation (MAD)	1
Skewness	0.3170984273
Sum	940603
Variance	2.615823574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
116	3148	38.8%
114	2148	26.4%
117	1144	14.1%
119	832	10.2%
113	367	4.5%
115	292	3.6%
118	192	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
113	367	4.5%
114	2148	26.4%
115	292	3.6%
116	3148	38.8%
117	1144	14.1%
118	192	2.4%
119	832	10.2%

Value	Count	Frequency (%)
119	832	10.2%
118	192	2.4%
117	1144	14.1%
116	3148	38.8%
115	292	3.6%
114	2148	26.4%
113	367	4.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	1	3	9	13	23	25	34	36	38	40	52	54	59	63	67	76	85	86	90	93	98	107	113
0	2	3	9	14	23	26	34	36	39	40	52	55	59	63	67	76	85	86	90	93	99	108	114
1	2	4	9	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	108	115
2	1	3	10	15	23	25	34	36	38	41	52	54	59	63	67	76	85	86	90	93	98	107	113
3	2	3	9	16	24	28	34	37	39	40	53	54	59	63	67	76	85	86	90	94	99	109	114
4	2	3	10	14	23	26	34	36	39	41	52	55	59	63	67	76	85	86	90	93	98	108	114
5	2	4	9	15	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	108	115
6	2	4	10	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	107	115
7	1	3	10	15	23	25	34	36	38	43	52	54	59	63	67	76	85	86	90	93	98	110	114
8	2	4	9	14	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	107	115
9	2	3	10	14	23	27	34	36	39	42	52	55	59	63	67	76	85	86	90	93	99	108	114

Last rows

	1	3	9	13	23	25	34	36	38	40	52	54	59	63	67	76	85	86	90	93	98	107	113
8113	1	6	10	21	24	33	35	36	39	50	52	55	61	65	74	84	85	86	92	97	102	112	116
8114	2	3	9	13	24	28	35	36	39	50	52	58	59	63	73	83	85	88	90	93	104	110	119
8115	1	7	10	13	24	32	34	36	38	48	53	58	59	66	69	76	85	86	90	94	102	110	119
8116	1	7	9	17	24	31	34	36	38	48	53	58	61	63	69	76	85	86	90	94	102	110	116
8117	1	7	10	13	24	29	34	36	38	48	53	58	61	63	69	76	85	86	90	94	102	110	116
8118	2	7	9	13	24	28	35	36	39	50	52	58	59	63	73	83	85	88	90	93	106	112	119
8119	2	3	9	13	24	28	35	36	39	50	52	58	59	63	73	83	85	87	90	93	106	110	119
8120	2	6	9	13	24	28	35	36	39	41	52	58	59	63	73	83	85	88	90	93	106	112	119
8121	1	7	10	13	24	31	34	36	38	48	53	58	59	66	67	76	85	86	90	94	102	110	119
8122	2	3	9	13	24	28	35	36	39	50	52	58	59	63	73	83	85	88	90	93	104	112	119

	1	3	9	13	23	25	34	36	38	40	52	54	59	63	67	76	85	86	90	93	98	107	113
0	2	3	9	14	23	26	34	36	39	40	52	55	59	63	67	76	85	86	90	93	99	108	114
1	2	4	9	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	108	115
2	1	3	10	15	23	25	34	36	38	41	52	54	59	63	67	76	85	86	90	93	98	107	113
3	2	3	9	16	24	28	34	37	39	40	53	54	59	63	67	76	85	86	90	94	99	109	114
4	2	3	10	14	23	26	34	36	39	41	52	55	59	63	67	76	85	86	90	93	98	108	114
5	2	4	9	15	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	108	115
6	2	4	10	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	107	115
7	1	3	10	15	23	25	34	36	38	43	52	54	59	63	67	76	85	86	90	93	98	110	114
8	2	4	9	14	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	107	115
9	2	3	10	14	23	27	34	36	39	42	52	55	59	63	67	76	85	86	90	93	99	108	114

	1	3	9	13	23	25	34	36	38	40	52	54	59	63	67	76	85	86	90	93	98	107	113
0	2	3	9	14	23	26	34	36	39	40	52	55	59	63	67	76	85	86	90	93	99	108	114
1	2	4	9	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	108	115
2	1	3	10	15	23	25	34	36	38	41	52	54	59	63	67	76	85	86	90	93	98	107	113
3	2	3	9	16	24	28	34	37	39	40	53	54	59	63	67	76	85	86	90	94	99	109	114
4	2	3	10	14	23	26	34	36	39	41	52	55	59	63	67	76	85	86	90	93	98	108	114
5	2	4	9	15	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	108	115
6	2	4	10	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	107	115
7	1	3	10	15	23	25	34	36	38	43	52	54	59	63	67	76	85	86	90	93	98	110	114
8	2	4	9	14	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	107	115
9	2	3	10	14	23	27	34	36	39	42	52	55	59	63	67	76	85	86	90	93	99	108	114

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

	1	3	9	13	23	25	34	36	38	40	52	54	59	63	67	76	85	86	90	93	98	107	113
0	2	3	9	14	23	26	34	36	39	40	52	55	59	63	67	76	85	86	90	93	99	108	114
1	2	4	9	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	108	115
2	1	3	10	15	23	25	34	36	38	41	52	54	59	63	67	76	85	86	90	93	98	107	113
3	2	3	9	16	24	28	34	37	39	40	53	54	59	63	67	76	85	86	90	94	99	109	114
4	2	3	10	14	23	26	34	36	39	41	52	55	59	63	67	76	85	86	90	93	98	108	114
5	2	4	9	15	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	108	115
6	2	4	10	15	23	27	34	36	39	41	52	55	59	63	67	76	85	86	90	93	99	107	115
7	1	3	10	15	23	25	34	36	38	43	52	54	59	63	67	76	85	86	90	93	98	110	114
8	2	4	9	14	23	26	34	36	39	42	52	55	59	63	67	76	85	86	90	93	98	107	115
9	2	3	10	14	23	27	34	36	39	42	52	55	59	63	67	76	85	86	90	93	99	108	114